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Cloud data services have matured into intelligent, distributed ecosystems. This report explores the 2025?2030 transition, where multi-cloud and hybrid strategies have replaced the one-cloud-fits-all approach. We analyze how organizations utilize hybrid cloud to manage data sovereignty, keeping sensitive data on local servers while using the public cloud?s compute power for AI training. The narrative details the rise of Serverless data services, which allow developers to focus on building applications without managing infrastructure. We also investigate managed data security, as ransomware forces providers to integrate automated, AI-driven threat detection into the storage layer. From an economic perspective, the report covers the cloud repatriation trend, where companies move predictable workloads back to private clouds for cost optimization. By 2030, cloud data will flow seamlessly across environments, optimized for cost and compliance by AI-driven management.